Odyssey

We’re an AI lab pioneering world models—AI to understand and simulate the world.

Odyssey is an AI lab building general-purpose world models, causal, multimodal systems that learn to predict and interact with the world over long horizons , rather than systems trained primarily on text. The relevant audience is robotics teams, game developers, simulation engineers, and researchers who need AI that reasons about physics, motion, and cause and effect from visual and sensor data. The launch matters because the company is announcing a $310 million Series B at a $1.45 billion valuation , led by Natural Capital, with Amazon, AMD Ventures , GV, In-Q-Tel and others participating, signaling that major strategic backers are now treating world models as a serious parallel track to LLMs. The company was founded in 2023 by CEO Oliver Cameron and CTO Jeff Hawke, both of whom have deep experience in self-driving technology . Cameron previously co-founded autonomous vehicle startup Voyage, which was acquired by GM's Cruise , and Hawke helped build Wayve, where world models were used to train driving policies. That background shows up in the product line, which includes Odyssey-2, a general-purpose world model focused on physical accuracy, Starchild-1, a multimodal system that learns from richer interaction than vision alone, Agora-1, a multi-agent model that lets multiple humans or AIs share a single live simulation, and PROWL, a reinforcement learning framework where an agent explores environments to improve the underlying world model. The pitch in the launch video is that current AI learns mostly from written records, while humans learn by moving through and bumping into the world, and that training models on that same kind of environmental data unlocks applications across robotics, gaming, science, education, and healthcare. With this round, Odyssey is positioning its models as infrastructure for simulating reality at scale, with the funding aimed at expanding training compute and pushing the Odyssey-2, Starchild, and Agora families toward real workloads in interactive video, game creation, and embodied AI.

Tags

Comments (12)